TY - JOUR
T1 - Society for Simulation in Healthcare Guidelines for Simulation Training
AU - Stefanidis, Dimitrios
AU - Cook, David
AU - Kalantar-Motamedi, Seyed Mohammad
AU - Muret-Wagstaff, Sharon
AU - Calhoun, Aaron W.
AU - Lauridsen, Kasper G.
AU - Paige, John T.
AU - Lockey, Andrew
AU - Donoghue, Aaron
AU - Hall, Andrew K.
AU - Patocka, Catherine
AU - Palaganas, Janice
AU - Gross, Isabel T.
AU - Kessler, David
AU - Vermylen, Julia
AU - Lin, Yiqun
AU - Aebersold, Michelle
AU - Chang, Todd P.
AU - Duff, Jonathan
AU - Kolbe, Michaela
AU - Rutherford-Hemming, Tonya
AU - Decker, Sharon
AU - Collings, Amelia
AU - Toseef Ansari, Mohammed
N1 - Publisher Copyright:
© Lippincott Williams & Wilkins.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - Background Simulation has become a staple in the training of healthcare professionals with accumulating evidence on its effectiveness. However, guidelines for optimal methods of simulation training do not currently exist. Methods Systematic reviews of the literature on 16 identified key questions were conducted and expert panel consensus recommendations determined using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) methodology. Objective These evidence-based guidelines from the Society for Simulation in Healthcare intend to support healthcare professionals in decisions on the most effective methods for simulation training in healthcare Results Twenty recommendations on 16 questions were determined using GRADE. Four expert recommendations were also provided. Conclusions The first evidence-based guidelines for simulation training are provided to guide instructors and learners on the most effective use of simulation in healthcare.
AB - Background Simulation has become a staple in the training of healthcare professionals with accumulating evidence on its effectiveness. However, guidelines for optimal methods of simulation training do not currently exist. Methods Systematic reviews of the literature on 16 identified key questions were conducted and expert panel consensus recommendations determined using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) methodology. Objective These evidence-based guidelines from the Society for Simulation in Healthcare intend to support healthcare professionals in decisions on the most effective methods for simulation training in healthcare Results Twenty recommendations on 16 questions were determined using GRADE. Four expert recommendations were also provided. Conclusions The first evidence-based guidelines for simulation training are provided to guide instructors and learners on the most effective use of simulation in healthcare.
KW - Guidelines
KW - healthcare
KW - simulation training
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U2 - 10.1097/SIH.0000000000000776
DO - 10.1097/SIH.0000000000000776
M3 - Article
AN - SCOPUS:85184189130
SN - 1559-2332
VL - 19
SP - S4-S22
JO - Simulation in Healthcare
JF - Simulation in Healthcare
IS - 1
ER -